Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior

By Marios Koufaris. Information systems research, 2002

3,504 citations recorded by the source corpus.

Subfields: Information Systems and Management, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a0edefd3f11d8295c986723824684c81a8782c27

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Citations in the corpus

Telepresence and fantasy in online apparel shopping experience (2007, background): “, 1998; Hoffman and Novak, 1996; Jarvenpaa and Todd, 1997) or towards a product or store (Fiore and Jin, 2003; Koufaris, 2002), which ultimately affect profitability of online retailers.”
Web strategies to promote internet shopping: is cultural-customization needed? (2009, background): “Furthermore, a direct causal link between behavioral beliefs and behavioral intentions was found in several studies on Internet shopping (Gefen et al. 2003; Koufaris 2002; McKnight et al. 2002).”
What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model (2005, result): “This finding was in accord with the results of Koufaris [20], who pointed out that perceived ease of use is not a significant determinate for behavioral intention to use.”
Antecedents of the adoption of the new mobile payment systems: The moderating effect of age (2014, methodology): “7-point Likert, 1 = Totally disagree, 7 = Totally agree Bhattacherjee and Premkumar (2004), Karahanna et al. (1999), Koufaris (2002), Pikkarainen et al. (2004) and Muñoz (2008) Using ZONG could increase the efficiency of making my purchases on the internet/social networks.”
Taking "Fun and Games" Seriously: Proposing the Hedonic-Motivation System Adoption Model (HMSAM) (2012, methodology): “…UMS and MMS have shown that PEOU plays a direct positive role in determining BIU (e.g., Agarwal & Karahanna, 2000; Agarwal & Venkatesh, 2002; Davis, 1989; Davis et al., 1989; Davis, Bagozzi, & Warshaw, 1992; Hsu & Lu, 2007; Koufaris, 2002; Saade & Bahli, 2005; Sun & Zhang, 2006; Venkatesh, 1999).”
Examining the impact of gamification on intention of engagement and brand attitude in the marketing context (2017, background): “Research in electronic commerce have so far explored the role of enjoyment in instant messaging (Li et al., 2005) and online shopping (Koufaris, 2002).”
USERS ADOPTION OF E-BANKING SERVICES: THE MALAYSIAN PERSPECTIVE (2007, background): “While others have studied internet consumers primarily as computer users (see, for example, Koufaris, 2002”
Modeling Web Site Design Across Cultures: Relationships to Trust, Satisfaction, and E-Loyalty (2008, methodology): “Trust and E-loyalty In online environments researchers have endeavored to unravel the complexities of trust [6, 8, 24, 26, 34, 54].”
What Drives Electronic Commerce across Cultures? Across-Cultural Empirical Investigation of the Theory of Planned Behavior (2002, background): “As noted by Koufaris (2002) online consumers demand more control, less effort, and higher efficiency.”
Perceived interactivity leading to e-loyalty: Development of a model for cognitive-affective user responses (2009, methodology): “…when trust is one element included to better understand a more comprehensive user reaction to a website, then trust as a single-dimensional construct has been used (Gefen et al., 2003; Koufaris, 2002). elements as related to website design, and supports the earlier work by Corritore et al. (2003).”
Beyond technology acceptance: Brand relationships and online brand experience☆ (2013, methodology): “…expand the original model to account for other effects of technology usage beyond and in addition to behavioral intentions including, for example, satisfaction (Wixom & Todd, 2005), loyalty (Flavian et al., 2006), unplanned purchases (Koufaris, 2002), and positive word of mouth (Palvia, 2009).”
Predicting Collaboration Technology Use: Integrating Technology Adoption and Collaboration Research (2010, background): “Other work has incorporated general psychological variables, such as trust tied to the context of technology use (e.g., [43]). however, the constructs identified in prior research were not tied to the technology or its conceptualization, and the research did not consider the nuances associated with…”
Engaging customers during a website visit: a model of website customer engagement (2016, background): “This distinction between two forms of exploration potential is important, because information, while not a predominant element of most landscapes and environments, is central to online marketing environments (Huang, 2000) and can add value to customers’ online shopping experience (Koufaris, 2002).”
The roles of habit and web site quality in e-commerce (2006, background): “For instance, Moon and Kim (2001) argued that perceived playfulness reflects users' intrinsic beliefs in web acceptance, and Koufaris (2002) found that shopping enjoyment has an impact on consumers' intention to revisit a Web site.”